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Statistical Modeling Using Local Gaussian Approximation
Engelsk Paperback

Statistical Modeling Using Local Gaussian Approximation

Engelsk Paperback

904 kr
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Om denne bog
Statistical Modeling using Local Gaussian Approximation extends powerful characteristics of the Gaussian distribution, perhaps, the most well-known and most used distribution in statistics, to a large class of non-Gaussian and nonlinear situations through local approximation. This extension enables the reader to follow new methods in assessing dependence and conditional dependence, in estimating probability and spectral density functions, and in discrimination. Chapters in this release cover Parametric, nonparametric, locally parametric, Dependence, Local Gaussian correlation and dependence, Local Gaussian correlation and the copula, Applications in finance, and more. Additional chapters explores Measuring dependence and testing for independence, Time series dependence and spectral analysis, Multivariate density estimation,  Conditional density estimation, The local Gaussian partial correlation, Regression and conditional regression quantiles, and a A local Gaussian Fisher discriminant.
Product detaljer
Sprog:
Engelsk
Sider:
458
ISBN-13:
9780128158616
Indbinding:
Paperback
Udgave:
ISBN-10:
0128158611
Udg. Dato:
8 okt 2021
Længde:
28mm
Bredde:
229mm
Højde:
156mm
Forlag:
Elsevier Science Publishing Co Inc
Oplagsdato:
8 okt 2021
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